The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-23"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "9263466 (up from 9098641 yesterday: 1.81 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "477584 (up from 472171 yesterday: 1.15 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.16



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2347022 34722 1.50 121228 826 0.69 5.17
Brazil 1145906 39436 3.56 52645 1374 2.68 4.59
Russia 598878 7413 1.25 8349 153 1.87 1.39
India 456183 15968 3.63 14476 465 3.32 3.17
United Kingdom 307682 921 0.30 43011 280 0.66 13.98
Peru 260810 3363 1.31 8404 181 2.20 3.22
Chile 250767 3804 1.54 4505 3 0.07 1.80
Spain 246752 248 0.10 28325 1 0.00 11.48
Italy 238833 113 0.05 34675 18 0.05 14.52
Iran 209970 2445 1.18 9863 121 1.24 4.70
France 197804 423 0.21 29723 57 0.19 15.03
Germany 192480 712 0.37 8914 15 0.17 4.63
Mexico 191410 6288 3.40 23377 793 3.51 12.21
Turkey 190165 1268 0.67 5001 27 0.54 2.63
Pakistan 188926 3892 2.10 3755 60 1.62 1.99
Saudi Arabia 164144 3139 1.95 1346 39 2.98 0.82
Bangladesh 119198 3412 2.95 1545 43 2.86 1.30
South Africa 106108 4518 4.45 2102 111 5.58 1.98
Canada 103767 349 0.34 8512 18 0.21 8.20
Qatar 89579 1176 1.33 99 0 0.00 0.11
China 84653 29 0.03 4640 1 0.02 5.48
Colombia 73760 2393 3.35 2524 98 4.04 3.42
Sweden 60837 1905 3.23 5161 39 0.76 8.48
Belgium 60810 260 0.43 9713 17 0.18 15.97
Belarus 59487 464 0.79 357 6 1.71 0.60
Egypt 58141 1332 2.34 2365 87 3.82 4.07
Ecuador 51643 1003 1.98 4274 51 1.21 8.28
Netherlands 49930 64 0.13 6114 5 0.08 12.25
Indonesia 47896 1051 2.24 2535 35 1.40 5.29
Argentina 47203 2272 5.06 1078 35 3.36 2.28
United Arab Emirates 45683 380 0.84 305 2 0.66 0.67
Singapore 42432 119 0.28 26 0 0.00 0.06
Kuwait 41033 742 1.84 334 4 1.21 0.81
Portugal 39737 345 0.88 1540 6 0.39 3.88
Ukraine 38901 845 2.22 1045 23 2.25 2.69
Iraq 34502 1826 5.59 1251 84 7.20 3.63
Poland 32527 300 0.93 1375 16 1.18 4.23
Oman 32394 1318 4.24 140 3 2.19 0.43
Philippines 31825 1143 3.73 1186 9 0.76 3.73
Switzerland 31332 22 0.07 1956 0 0.00 6.24
Afghanistan 29481 324 1.11 618 20 3.34 2.10
Dominican Republic 27936 566 2.07 675 6 0.90 2.42
Panama 27314 562 2.10 536 15 2.88 1.96
Bolivia 26389 896 3.51 846 26 3.17 3.21
Ireland 25391 8 0.03 1720 3 0.17 6.77
Romania 24505 214 0.88 1539 16 1.05 6.28
Bahrain 23062 655 2.92 67 2 3.08 0.29
Israel 21512 430 2.04 308 1 0.33 1.43
Nigeria 21371 452 2.16 533 8 1.52 2.49
Armenia 21006 418 2.03 372 12 3.33 1.77
Kazakhstan 18765 534 2.93 134 7 5.51 0.71
Japan 17879 59 0.33 965 10 1.05 5.40
Austria 17408 28 0.16 693 3 0.43 3.98
Moldova 14714 351 2.44 490 10 2.08 3.33
Ghana 14568 414 2.92 95 10 11.76 0.65
Guatemala 14540 771 5.60 582 35 6.40 4.00
Honduras 13943 587 4.40 405 10 2.53 2.90
Azerbaijan 13715 508 3.85 167 6 3.73 1.22
Serbia 13092 102 0.79 263 1 0.38 2.01
Denmark 12761 34 0.27 603 1 0.17 4.73
Korea, South 12535 51 0.41 281 0 0.00 2.24
Cameroon 12270 229 1.90 313 5 1.62 2.55
Algeria 12076 156 1.31 861 9 1.06 7.13
Czechia 10650 127 1.21 339 3 0.89 3.18
Morocco 10344 172 1.69 214 0 0.00 2.07
Nepal 10099 538 5.63 24 1 4.35 0.24
Sudan 8889 191 2.20 548 15 2.81 6.16
Norway 8772 21 0.24 248 0 0.00 2.83
Malaysia 8590 3 0.03 121 0 0.00 1.41
Cote d’Ivoire 7904 227 2.96 58 2 3.57 0.73
Australia 7521 29 0.39 103 1 0.98 1.37
Finland 7155 11 0.15 327 0 0.00 4.57
Uzbekistan 6662 201 3.11 19 0 0.00 0.29
Senegal 6034 64 1.07 89 3 3.49 1.47
Congo (Kinshasa) 6027 103 1.74 135 0 0.00 2.24
Tajikistan 5567 54 0.98 52 0 0.00 0.93
Haiti 5324 113 2.17 89 1 1.14 1.67
North Macedonia 5311 115 2.21 251 4 1.62 4.73
Guinea 5040 52 1.04 28 1 3.70 0.56

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 389085 597 0.15 31232 56 0.18 8.03 20000.71 1605.46 1 in 50
California 191477 6712 3.63 5626 60 1.08 2.94 4846.02 142.39 1 in 206
New Jersey 169734 319 0.19 13025 51 0.39 7.67 19109.48 1466.42 1 in 52
Illinois 137825 601 0.44 6707 36 0.54 4.87 10876.50 529.28 1 in 92
Texas 122932 5142 4.37 2236 29 1.31 1.82 4239.64 77.11 1 in 236
Massachusetts 107439 229 0.21 7889 16 0.20 7.34 15459.95 1135.19 1 in 65
Florida 103503 3286 3.28 3238 65 2.05 3.13 4819.08 150.76 1 in 208
Pennsylvania 87208 632 0.73 6464 38 0.59 7.41 6812.07 504.92 1 in 147
Michigan 68197 240 0.35 6109 12 0.20 8.96 6828.67 611.70 1 in 146
Georgia 67810 1882 2.85 2695 47 1.77 3.97 6386.67 253.83 1 in 157
Maryland 65007 404 0.63 3092 18 0.59 4.76 10752.64 511.44 1 in 93
Virginia 58994 529 0.90 1645 25 1.54 2.79 6911.59 192.72 1 in 145
Arizona 58378 3779 6.92 1396 45 3.33 2.39 7666.29 183.32 1 in 130
North Carolina 54639 675 1.25 1296 18 1.41 2.37 5209.63 123.57 1 in 192
Louisiana 51595 1356 2.70 3134 17 0.55 6.07 11098.58 674.15 1 in 90
Ohio 46127 590 1.30 2735 31 1.15 5.93 3946.15 233.98 1 in 253
Connecticut 45899 117 0.26 4277 14 0.33 9.32 12873.86 1199.62 1 in 78
Indiana 42871 238 0.56 2569 16 0.63 5.99 6368.03 381.60 1 in 157
Tennessee 36303 750 2.11 542 11 2.07 1.49 5312.76 79.32 1 in 188
Minnesota 33469 242 0.73 1425 9 0.64 4.26 5934.61 252.68 1 in 169
Alabama 31097 643 2.11 864 23 2.73 2.78 6342.20 176.21 1 in 158
Colorado 30877 188 0.61 1665 14 0.85 5.39 5361.77 289.13 1 in 187
Washington 29386 516 1.79 1284 8 0.63 4.37 3859.02 168.62 1 in 259
South Carolina 26572 906 3.53 673 14 2.12 2.53 5160.90 130.71 1 in 194
Iowa 26469 323 1.24 689 3 0.44 2.60 8389.35 218.38 1 in 119
Wisconsin 25331 263 1.05 750 5 0.67 2.96 4350.59 128.81 1 in 230
Mississippi 22898 569 2.55 989 11 1.12 4.32 7693.84 332.31 1 in 130
Missouri 19005 413 2.22 976 6 0.62 5.14 3096.57 159.02 1 in 323
Utah 18300 394 2.20 163 5 3.16 0.89 5708.12 50.84 1 in 175
Nebraska 18099 136 0.76 256 7 2.81 1.41 9356.35 132.34 1 in 107
Arkansas 16678 595 3.70 237 10 4.41 1.42 5526.50 78.53 1 in 181
Rhode Island 16533 74 0.45 906 3 0.33 5.48 15606.58 855.23 1 in 64
Kentucky 14141 302 2.18 537 11 2.09 3.80 3165.18 120.20 1 in 316
Nevada 13528 0 0.00 489 0 0.00 3.61 4391.99 158.76 1 in 228
Kansas 12537 109 0.88 260 2 0.78 2.07 4303.35 89.25 1 in 232
Oklahoma 11031 297 2.77 371 2 0.54 3.36 2787.74 93.76 1 in 359
Delaware 10847 27 0.25 504 69 15.86 4.65 11139.25 517.58 1 in 90
New Mexico 10838 144 1.35 476 7 1.49 4.39 5168.76 227.01 1 in 193
District of Columbia 10094 36 0.36 537 2 0.37 5.32 14302.54 760.89 1 in 70
Oregon 7274 191 2.70 192 0 0.00 2.64 1724.62 45.52 1 in 580
Puerto Rico 6685 121 1.84 149 0 0.00 2.23 2093.19 46.65 1 in 478
South Dakota 6353 27 0.43 83 2 2.47 1.31 7181.30 93.82 1 in 139
New Hampshire 5571 13 0.23 343 4 1.18 6.16 4097.19 252.26 1 in 244
Idaho 4254 0 0.00 89 0 0.00 2.09 2373.80 49.66 1 in 421
North Dakota 3320 7 0.21 78 1 1.30 2.35 4356.60 102.35 1 in 230
Maine 2996 25 0.84 102 0 0.00 3.40 2228.82 75.88 1 in 449
West Virginia 2593 41 1.61 92 3 3.37 3.55 1450.92 51.48 1 in 689
Wyoming 1254 24 1.95 20 0 0.00 1.59 2166.70 34.56 1 in 462
Vermont 1164 1 0.09 56 0 0.00 4.81 1865.42 89.75 1 in 536
Hawaii 819 3 0.37 17 0 0.00 2.08 578.44 12.01 1 in 1729
Alaska 760 2 0.26 12 0 0.00 1.58 1038.90 16.40 1 in 963
Montana 743 9 1.23 21 0 0.00 2.83 695.19 19.65 1 in 1438

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3500808 389085 11.11 179957.18
California 3496929 191477 5.48 88502.46
New Jersey 1283451 169734 13.22 144497.13
Illinois 1400510 137825 9.84 110521.61
Texas 1597290 122932 7.70 55086.79
Massachusetts 787642 107439 13.64 113337.89
Florida 1640752 103503 6.31 76393.15
Pennsylvania 679103 87208 12.84 53046.68
Michigan 928668 68197 7.34 92989.02
Georgia 731261 67810 9.27 68873.68
Maryland 483535 65007 13.44 79980.25
Virginia 568377 58994 10.38 66589.62
Arizona 440518 58378 13.25 57849.53
North Carolina 773828 54639 7.06 73781.64
Louisiana 635939 51595 8.11 136796.55
Ohio 670437 46127 6.88 57355.74
Connecticut 403944 45899 11.36 113299.15
Indiana 426376 42871 10.05 63333.65
Tennessee 705419 36303 5.15 103234.46
Minnesota 520045 33469 6.44 92212.58
Alabama 354038 31097 8.78 72205.72
Colorado 287876 30877 10.73 49989.44
Washington 477204 29386 6.16 62667.20
South Carolina 309251 26572 8.59 60063.74
Iowa 264703 26469 10.00 83897.66
Wisconsin 503496 25331 5.03 86475.18
Mississippi 263964 22898 8.67 88693.14
Missouri 317374 19005 5.99 51711.24
Utah 302276 18300 6.05 94285.70
Nebraska 158642 18099 11.41 82010.62
Arkansas 264492 16678 6.31 87643.25
Rhode Island 222163 16533 7.44 209714.16
Kentucky 331294 14141 4.27 74153.59
Nevada 248526 13528 5.44 80686.17
Kansas 155013 12537 8.09 53208.48
Oklahoma 295057 11031 3.74 74566.38
Delaware 97536 10847 11.12 100163.90
New Mexico 298076 10838 3.64 142155.61
District of Columbia 83302 10094 12.12 118033.47
Oregon 210712 7274 3.45 49958.54
Puerto Rico 6685 6685 100.00 2093.19
South Dakota 73986 6353 8.59 83632.22
New Hampshire 108876 5571 5.12 80072.90
Idaho 76164 4254 5.59 42500.69
North Dakota 97553 3320 3.40 128011.89
Maine 81707 2996 3.67 60784.31
West Virginia 154328 2593 1.68 86354.40
Wyoming 28739 1254 4.36 49656.25
Vermont 59328 1164 1.96 95078.60
Hawaii 69340 819 1.18 48973.35
Alaska 92947 760 0.82 127055.75
Montana 73923 743 1.01 69165.91

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 142899 3889 2.80 73792 51.64 62353 6739 208 3.18 4.72
Delhi 70390 3788 5.69 41437 58.87 26588 2365 64 2.78 3.36
Tamil Nadu 67468 2865 4.43 37763 55.97 28839 866 33 3.96 1.28
Gujarat 29001 572 2.01 21096 72.74 6169 1736 25 1.46 5.99
Uttar Pradesh 19557 664 3.51 12586 64.36 6375 596 8 1.36 3.05
Rajasthan 16009 382 2.44 12611 78.77 3023 375 10 2.74 2.34
West Bengal 15173 445 3.02 9702 63.94 4880 591 11 1.90 3.90
Madhya Pradesh 12448 187 1.53 9473 76.10 2441 534 9 1.71 4.29
Haryana 12010 490 4.25 6925 57.66 4897 188 10 5.62 1.57
Telangana 10444 891 9.33 4361 41.76 5858 225 5 2.27 2.15
Andhra Pradesh 10331 497 5.05 4779 46.26 5423 129 10 8.40 1.25
Karnataka 10118 397 4.08 6153 60.81 3797 164 14 9.33 1.62
State Unassigned 8493 478 5.96 0 0.00 8493 0 0 NaN 0.00
Bihar 8273 223 2.77 6106 73.81 2112 55 1 1.85 0.66
Jammu and Kashmir 6422 186 2.98 3818 59.45 2516 88 1 1.15 1.37
Assam 6283 227 3.75 3959 63.01 2312 9 0 0.00 0.14
Odisha 5752 282 5.16 4123 71.68 1605 24 0 0.00 0.42
Punjab 4627 230 5.23 3099 66.98 1415 113 8 7.62 2.44
Kerala 3604 152 4.40 1888 52.39 1691 23 0 0.00 0.64
Uttarakhand 2623 88 3.47 1721 65.61 850 35 5 16.67 1.33
Chhattisgarh 2419 34 1.43 1601 66.18 806 12 0 0.00 0.50
Jharkhand 2219 26 1.19 1575 70.98 632 12 1 9.09 0.54
Tripura 1263 0 0.00 904 71.58 358 1 0 0.00 0.08
Manipur 970 49 5.32 328 33.81 642 0 0 NaN 0.00
Goa 951 42 4.62 289 30.39 660 2 0 0.00 0.21
Ladakh 932 0 0.00 274 29.40 657 1 0 0.00 0.11
Himachal Pradesh 806 31 4.00 466 57.82 320 7 0 0.00 0.87
Puducherry 461 59 14.68 176 38.18 276 9 0 0.00 1.95
Chandigarh 420 2 0.48 322 76.67 92 6 0 0.00 1.43
Nagaland 355 25 7.58 148 41.69 207 0 0 NaN 0.00
Arunachal Pradesh 160 2 1.27 38 23.75 121 1 1 Inf 0.62
Mizoram 145 0 0.00 24 16.55 121 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 134 13 10.74 30 22.39 103 0 0 NaN 0.00
Sikkim 83 5 6.41 39 46.99 44 0 0 NaN 0.00
Andaman and Nicobar Islands 56 2 3.70 41 73.21 15 0 0 NaN 0.00
Meghalaya 46 0 0.00 41 89.13 4 1 0 0.00 2.17
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 971721 93173 62 0.07 9.59 910 51 12903 16579 17.79
Piemonte 394940 31254 6 0.02 7.91 330 18 1870 4059 12.99
Emilia-Romagna 460600 28260 17 0.06 6.14 121 12 1089 4236 14.99
Veneto 888273 19250 3 0.02 2.17 30 1 564 2004 10.41
Toscana 316933 10217 6 0.06 3.22 20 6 337 1100 10.77
Liguria 138694 9939 4 0.04 7.17 61 1 255 1553 15.63
Lazio 322341 8033 8 0.10 2.49 184 16 886 832 10.36
Marche 130121 6775 1 0.01 5.21 11 0 493 994 14.67
Campania 267306 4634 10 0.22 1.73 47 0 141 431 9.30
Puglia 165598 4529 2 0.04 2.73 32 0 190 542 11.97
P.A. Trento 113091 4465 1 0.02 3.95 0 0 51 466 10.44
Friuli Venezia Giulia 176470 3305 0 0.00 1.87 14 0 71 344 10.41
Abruzzo 99976 3282 0 0.00 3.28 46 3 391 460 14.02
Sicilia 194935 3073 1 0.03 1.58 17 5 132 280 9.11
P.A. Bolzano 80538 2633 0 0.00 3.27 3 1 89 292 11.09
Umbria 89831 1438 0 0.00 1.60 4 1 12 78 5.42
Sardegna 77129 1360 0 0.00 1.76 7 0 15 132 9.71
Valle d’Aosta 17589 1193 0 0.00 6.78 3 0 5 146 12.24
Calabria 89226 1175 1 0.09 1.32 9 0 28 97 8.26
Molise 20902 444 0 0.00 2.12 3 0 43 23 5.18
Basilicata 37613 401 0 0.00 1.07 1 0 8 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 54884 49 0.09 5424 7 0.13 9.88 6428.45 635.30 1 in 156
Ontario 35657 239 0.67 2676 10 0.38 7.50 2423.70 181.89 1 in 413
Alberta 7781 45 0.58 153 0 0.00 1.97 1763.14 34.67 1 in 567
British Columbia 2835 13 0.46 170 1 0.59 6.00 554.69 33.26 1 in 1803
Nova Scotia 1061 0 0.00 63 0 0.00 5.94 1085.47 64.45 1 in 921
Saskatchewan 753 2 0.27 13 0 0.00 1.73 637.24 11.00 1 in 1569
Manitoba 314 0 0.00 7 0 0.00 2.23 227.95 5.08 1 in 4387
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 1 0.61 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1634 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1177 6 0.51
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 850 9 1.06
Shandong 792 7 0.88
Shanghai 703 7 1.00
Jiangsu 654 0 0.00
Sichuan 589 3 0.51
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 348 6 1.72
Shaanxi 319 3 0.94
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 198 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Gansu 158 2 1.27
Jilin 155 2 1.29
Liaoning 154 2 1.30
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 7173.05 370.50 1 in 139
Brazil 5474.95 251.53 1 in 183
Russia 4144.48 57.78 1 in 241
India 340.69 10.81 1 in 2935
United Kingdom 4630.98 647.37 1 in 216
Peru 8107.24 261.24 1 in 123
Chile 13892.91 249.58 1 in 72
Spain 5288.30 607.05 1 in 189
Italy 3948.96 573.33 1 in 253
Iran 2587.11 121.53 1 in 387
France 2952.74 443.69 1 in 339
Germany 2324.92 107.67 1 in 430
Mexico 1481.50 180.94 1 in 675
Turkey 2353.24 61.89 1 in 425
Pakistan 959.02 19.06 1 in 1043
Saudi Arabia 4983.12 40.86 1 in 201
Bangladesh NA NA 1 in NA
South Africa 1870.73 37.06 1 in 535
Canada 2760.49 226.44 1 in 362
Qatar 33944.30 37.51 1 in 29

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 213056 22343 10.49
Los Angeles California 88512 3171 3.58
Cook Illinois 87784 4439 5.06
Nassau New York 41544 2179 5.25
Suffolk New York 41056 1970 4.80
Westchester New York 34581 1416 4.09
Maricopa Arizona 33883 663 1.96
Miami-Dade Florida 26822 902 3.36
Philadelphia Pennsylvania 25335 1564 6.17
Harris Texas 24421 335 1.37
Middlesex Massachusetts 23647 1812 7.66
Wayne Michigan 22245 2690 12.09
Suffolk Massachusetts 19601 976 4.98
Hudson New Jersey 19316 1308 6.77
Bergen New Jersey 19069 1706 8.95
Essex New Jersey 18592 1765 9.49
Prince George’s Maryland 18080 661 3.66
Dallas Texas 17744 324 1.83
Passaic New Jersey 16794 1019 6.07
Middlesex New Jersey 16640 1104 6.63
Fairfield Connecticut 16522 1367 8.27
Union New Jersey 16341 1139 6.97
Essex Massachusetts 15885 1081 6.81
Riverside California 14431 431 2.99
Montgomery Maryland 14204 725 5.10
Fairfax Virginia 13579 445 3.28
Rockland New York 13529 667 4.93
Providence Rhode Island 12712 0 0.00
New Haven Connecticut 12225 1065 8.71
Worcester Massachusetts 12192 905 7.42
Oakland Michigan 11791 1081 9.17
Broward Florida 11744 377 3.21
Hartford Connecticut 11443 1352 11.82
San Diego California 11294 341 3.02
Palm Beach Florida 11180 476 4.26
Hennepin Minnesota 10988 751 6.83
Marion Indiana 10977 669 6.09
Clark Nevada 10774 400 3.71
Orange California 10737 273 2.54
Orange New York 10666 473 4.43
Milwaukee Wisconsin 10406 373 3.58
District of Columbia District of Columbia 10094 537 5.32
San Bernardino California 10010 234 2.34
Ocean New Jersey 9466 860 9.09
Lake Illinois 9404 405 4.31
Tarrant Texas 9386 211 2.25
King Washington 9366 604 6.45
Salt Lake Utah 9207 105 1.14
Mecklenburg North Carolina 9086 143 1.57
Norfolk Massachusetts 9042 919 10.16

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc